Modified shock index is a predictor for 7-day outcomes in patients with STEMI

Qing Shangguan1, Jing-Song Xu1, Hai Su1

  • 1Department of Cardiology, Second Affiliated Hospital of Nanchang University.

Insights

Modified shock index (MSI) and shock index (SI) both predict outcomes in ST-segment elevation myocardial infarction (STEMI) patients. MSI demonstrated higher accuracy in predicting 7-day major adverse cardiac events and mortality.

Area of Science:

  • Cardiology
  • Emergency Medicine

Background:

  • ST-segment elevation myocardial infarction (STEMI) is a critical condition requiring rapid risk stratification.
  • Early identification of patients at high risk for adverse outcomes is essential for timely intervention.

Purpose of the Study:

  • To compare the predictive capabilities of the modified shock index (MSI) and the traditional shock index (SI) for 7-day outcomes in STEMI patients.
  • To evaluate the accuracy of MSI and SI in predicting major adverse cardiac events (MACE) and all-cause mortality.

Main Methods:

  • A retrospective study of 160 STEMI patients undergoing emergency percutaneous coronary intervention.
  • Calculation of SI (Heart Rate/Systolic Blood Pressure) and MSI (Heart Rate/Mean Arterial Pressure) using emergency department vital signs.
  • Assessment of 7-day MACE, including all-cause mortality, life-threatening arrhythmias, cardiogenic shock, and Killip class.

Main Results:

  • Increased MSI (≥1.4) and SI (≥0.7) were associated with higher MACE rates.
  • MSI showed significantly higher odds ratios for predicting all-cause mortality, cardiogenic shock, life-threatening arrhythmias, and overall MACE compared to SI.
  • Both MSI and SI were identified as independent predictors of MACE, with MSI exhibiting a higher odds ratio (3.05 vs. 1.07).

Conclusions:

  • Both SI and MSI are valuable tools for predicting 7-day mortality and MACE in STEMI patients presenting to the emergency department.
  • MSI appears to be a more accurate predictor of adverse outcomes than SI in this patient population.
Abstract

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